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First 1667 results for ” MAF Allaart”

1. KNMI'14-klimaatscenario's voor Nederland (rapport)

   De KNMI’14-klimaatscenario’s vertalen de onderzoeksresul-taten voor het wereldwijde klimaat uit h...

   Albert Klein Tank, Jules Beersma, Janette Bessembinder, Bart van den Hurk en Geert Lenderink | Year: 2015 | Pages: 36

   Publication

2. KNMI'14 Climatescenarios for the Netherlands (brochure)

   KNMI presents the KNMI’14 climate scenarios: four new scenarios for future climate change in the...

   Albert Klein Tank, Jules Beersma, Janette Bessembinder, Bart van den Hurk and Geert Lenderink | Year: 2015 | Pages: 36

   Publication

3. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

   Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Monthly Weather Review | Volume: 150 | Year: 2022 | First page: 1115 | Last page: 1134 | doi: https://doi.org/10.1175/MWR-D-21-0201.1

   Publication

4. Short- and Long-Term Variations in the Reykjanes Geothermal Reservoir From Seismic Noise Interferometry

   The Reykjanes Geothermal System (RGS) is a high-temperature geothermal system located on the Reyk...

   Pilar Sánchez-Pastor, Anne Obermann, Martin Schimmel, Cornelis Weemstra, Arie Verdel, Philippe Jousset | Journal: Geophysical Research Letters | Volume: 46 | Year: 2019 | First page: 5788 | Last page: 5798 | doi: https://doi.org/10.1029/2019GL082352

   Publication

5. Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

   Subseasonal forecasts are challenging for numerical weather prediction (NWP) and machine learning...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Artif. Intell. Earth Syst. | Volume: 2 | Year: 2023 | doi: https://doi.org/10.1175/AIES-D-22-0047.1

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